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Title
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Simultaneous motion correction and t-1 estimation in quantitative t-1 mapping: an ml restoration approach
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Author
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Abstract
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| In magnetic resonance imaging the spin-lattice relaxation time (T-1) of tissues is estimated from a set of T-1-weighted images. As the T-1 estimation is a voxel-wise estimation, correct alignment of the T-1-weighted images is crucial for T-1 mapping. Therefore, to correct for motion, the T-1-weighted images are often registered prior to the T-1 estimation. This two-step approach, however, does not provide an accurate motion detection due to the high dynamic contrast changes in the series of images. Moreover, interpolation effects during registration, propagate to the T-1 estimation. In this work, we propose a unified approach, where the motion estimation is integrated into the T-1 estimation procedure. The motion model parameters and T-1 parameters are jointly estimated using a Maximum Likelihood (ML) approach. Results on simulation and real data experiments show a substantial improvement in the precision and accuracy of the estimated T-1 map compared to the conventional two-step approach. |
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Language
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English
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Source (journal)
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Proceedings. - Los Alamitos, Calif, 1994, currens
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Source (book)
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IEEE International Conference on Image Processing (ICIP), SEP 27-30, 2015, Quebec City, CANADA
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Publication
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New york
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Ieee
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2015
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ISBN
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978-1-4799-8339-1
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978-1-4799-8339-1
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DOI
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10.1109/ICIP.2015.7351386
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Volume/pages
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(2015)
, p. 3160-3164
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ISI
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000371977803058
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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